Xunyi Wang1, Yun Zheng2, Yiran Liu3, Jingzhe Lu1, Zhiyuan Cui1, Zhen Li1. 1. Hearing Center/Hearing and Speech Laboratory, Department of Otorhinolaryngology Head and Neck Surgery, West China Hospital, Sichuan University, 37 Guo Xue Lane, Chengdu, Sichuan, China. 2. Hearing Center/Hearing and Speech Laboratory, Department of Otorhinolaryngology Head and Neck Surgery, West China Hospital, Sichuan University, 37 Guo Xue Lane, Chengdu, Sichuan, China. 1141679315@qq.com. 3. Statistics with Data Science, School of Mathematics, The University of Edinburgh, Edinburgh, UK.
Abstract
PURPOSE: To examine the influence of demographic, audiologic, and hearing-aid (HA)-related variables on HA outcomes. METHODS: In total, 235 adults with hearing loss (HL) who used HAs for at least 3 months were included in the study, and completed audiologic tests and the Chinese version of the International Outcome Inventory for Hearing Aids (IOI-HA). Spearman correlation analysis and Wilcoxon test were conducted to identify factors related to IOI-HA overall and subscales scores. Stepwise multiple linear regression analysis was subsequently performed to determine the influence of factors on HA outcomes. RESULTS: Age, daily use time, HA price, pure tone average (PTA) threshold, word recognition score (WRS), fitting (bilateral or unilateral), and HA style were associated with IOI-HA overall and subscales scores. However, only WRS, daily HA use time, HA price, and age entered the final regression model and were factors determining HA outcomes. CONCLUSIONS: HA outcome is a multi-dimensional construct. In this study, WRS had the greatest influence on HA outcomes and seemed to be a primary predictor. Thus, HA owners with a higher WRS before HA fitting may indicate better satisfaction. Daily use time, HA price, and patient age also made significant contributions to HA outcomes and should be considered in clinical practice to facilitate auditory rehabilitation.
PURPOSE: To examine the influence of demographic, audiologic, and hearing-aid (HA)-related variables on HA outcomes. METHODS: In total, 235 adults with hearing loss (HL) who used HAs for at least 3 months were included in the study, and completed audiologic tests and the Chinese version of the International Outcome Inventory for Hearing Aids (IOI-HA). Spearman correlation analysis and Wilcoxon test were conducted to identify factors related to IOI-HA overall and subscales scores. Stepwise multiple linear regression analysis was subsequently performed to determine the influence of factors on HA outcomes. RESULTS: Age, daily use time, HA price, pure tone average (PTA) threshold, word recognition score (WRS), fitting (bilateral or unilateral), and HA style were associated with IOI-HA overall and subscales scores. However, only WRS, daily HA use time, HA price, and age entered the final regression model and were factors determining HA outcomes. CONCLUSIONS: HA outcome is a multi-dimensional construct. In this study, WRS had the greatest influence on HA outcomes and seemed to be a primary predictor. Thus, HA owners with a higher WRS before HA fitting may indicate better satisfaction. Daily use time, HA price, and patient age also made significant contributions to HA outcomes and should be considered in clinical practice to facilitate auditory rehabilitation.
Authors: David Hartley; Elena Rochtchina; Philip Newall; Maryanne Golding; Paul Mitchell Journal: J Am Acad Audiol Date: 2010 Nov-Dec Impact factor: 1.664
Authors: Larry E Humes; Sara E Rogers; Tera M Quigley; Anna K Main; Dana L Kinney; Christine Herring Journal: Am J Audiol Date: 2017-03-01 Impact factor: 1.493